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Welcome to the how-to-solve-NLP wiki!

Tutorials:

Walkthrough	Code
How to solve 90% of NLP problems: a step-by-step guide	Notebook
Tensorflow Vector Representation of Words
Google ML Course on Embedding	Programming Excercise

Interactive Visualizations:

• Intuition of Neural Networks
• Interact with high dimensional representation of words and images
• Interact with attention mechanisms in RNNs

Libraries:

• spacy - Industrial-Strength Natural Language Processing (2015) python
• Stanford CoreNLP - Natural language software by Stanford NLP (2010) java
• polyglot - Multilingual text (NLP) processing toolkit (Al-Rfou 2014) python
• gensim - Topic modelling for humans (2009) python
• fasttext - Library for efficient text classification and representation learning

Spacy:

• Demos
• Visualizations
• Examples

Hard Problems (Despite the hype) (No out of the box solution):

• Chat Bots
• Question and Answering
• Summarization
• Story Generation
• Fact Checking

Resources:

• Glossary of ⚙ Tools | ⚙ Publications | ☶ SOTA | ⚛ Services
• Python NLP Libraries
• Spacy Benchmarks

Recent Trends in Deep Learning Based Natural Language Processing https://arxiv.org/pdf/1708.02709v5.pdf